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Hi!
I tried to implement some very simple Bayesian Regression via NUTS/MCMC. It works well, if I use a single Markov Chain, however, when I increase the number, the program does not stop anymore (b…
Garve updated
3 years ago
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To keep track of this:
- [x] Introduction
- [x] JSS paper
- [x] Advanced trajectory usage
- [ ] Advanced resource usage
- Capacity & queue size scheduling
- Priority arrivals without preemp…
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Research a few possible models we can use to generate text. Possibilities:
* Markov chains: should be relatively easy to implement on our own but likely wouldn't give great results.
* Recurrent ne…
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Please check off a lecture if it runs (as expected in WASM) otherwise we can open an individual issue for any lecture that doesn't run titled `[lecture-name] Execution Issues`
- [ ] about.md
- [ ]…
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Tomorrow is the 1st of November and I couldn't be more excited about this whole project!
The title of my novel is "The Gap -stories from the London Tube" and I'll be playing around with NLTK, Twitter …
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While there are a ton of resources in the #1 Resources thread, many of them assume that you know what fancy terms like NLP, NLTK, RNN, or ConceptNet mean. This thread is for introductory tutorials and…
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Add tests that call `clang -emit-llvm -c somefile.c` to produce a .bc bitcode file, then parse that file with this library. This test can be orchestrated by build.zig.
It would be cool to do some f…
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There is already a python implementation in the dropbox and also a wrong implementation of the algorithm which is interesting nonetheless IMO.
But I would be really interested in a SC implementation …
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This paper suggests a k-means seeding method that is much faster than kmeans++ and nearly as good. The algorithm constructs a Markov chain on the data points, and in practice k-1 chains of length 100 …
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Hi, I am currently working with the HSSM package (v 0.2.3) and have encountered an issue while handling my own data, including the "cavanagh_theta" data provided by the package. Specifically, when usi…